tueda

#!/bin/sh
for f in "$@"; do
    git blame -e "$f"
done | awk -F'<' '{print $2}' | awk -F'>' '{print $1}' | sort | uniq -c | sort -nr

tueda

tueda

# Returns NaN.
function nan() {
  return "+NaN" + 0
}

# Returns the binomial coefficient.
# It works, at least, when either n or k is a non-negative integer.
function binom(n, k,  tmp) {
  if (n == k || k == 0) {
    return 1

tueda

=LAMBDA(
  LET(
    upRange, INDIRECT(ADDRESS(1, COLUMN()) & ":" & ADDRESS(ROW() - 1, COLUMN())),
    lastNumber, LOOKUP(2, 1 / ISNUMBER(upRange), upRange),
    IF(ISNUMBER(lastNumber),
      lastNumber + 1,
      ""
    )
  )
)

tueda

(* cf. https://mathematica.stackexchange.com/a/278798 *)
makeImage[g_] := Block[{$ImageResolution = 300},
  Export[CloudObject["output.png"], g, "PNG"];
  Show[g]
];

tueda

SOURCES := $(wildcard *.tex)
DOCUMENTS := $(SOURCES:.tex=.pdf)
CLEANFILES := \
	$(foreach doc,$(DOCUMENTS),"$(doc)") \
	$(foreach doc,$(SOURCES:.tex=.aux),"$(doc)") \
	$(foreach doc,$(SOURCES:.tex=.log),"$(doc)")

all: $(DOCUMENTS)

clean:

tueda

def plot_data(data, *, figsize=None, columns=None, col_wrap=5, cat_threshold=5):
    import matplotlib.pyplt as plt
    import seaborn as sns
    import pandas as pd

    if not columns:
        columns = data.columns
    n_rows = len(columns) // col_wrap + 1
    if not figsize:
        figsize = (col_wrap * 4, n_rows * 3)

tueda

Easily accessible datasets

• Data.gov
• EU Open Data Portal
• WHO Global Health Observatory
• Our World in Data
• OpenML
• Registry of Open Data on AWS
• Rdatasets
• UC Irvine Machine Learning Repository

tueda

#!/bin/bash
#
# Usage:
#   ./x [update|clean|manual|devref|doxygen]
#       [4.1.0|4.2.0|4.2.1|4.3.0|4.3.1]
#       [check|time [-n <times>] [--warmup <times>]]
#       [coverage|gprof|valgrind [<valgrind options>]|helgrind|drd|sanitize]
#       [form|vorm|tform|tvorm|parform|parvorm]
#       [-np <nprocs>]
#       [args...]

tueda

* Example:
*   form -D M=10 -D N=15 test11.frm
Symbol x1,...,x`M';
Local F = (x1+...+x`M')^`N';
.end